Mario Döller
Impact in
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- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Data Compression Techniques
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- Music and Audio Processing
Papers in
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- Video Analysis and Summarization 10
- Image Retrieval and Classification Techniques 7
- Advanced Image and Video Retrieval Techniques 7
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- Music and Audio Processing 8
- Data Management and Algorithms 5
- Co-authors
- Harald Kosch (15 shared papers)Matthias Zeppelzauer (4 shared papers)László Böszörményi (2 shared papers)Rubén Tous (5 shared papers)Kyoungro Yoon (2 shared papers)Masanori Sano (1 shared paper)Lee Burnett (1 shared paper)John R. Smith (1 shared paper)
In The Last Decade
Mario Döller
30 papers receiving 175 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 99
- Signal Processing 34
- Building and Construction 28
- Computer Graphics and Computer-Aided Design 5
- Media Technology 12
Countries citing papers authored by Mario Döller
This map shows the geographic impact of Mario Döller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mario Döller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Döller more than expected).
Fields of papers citing papers by Mario Döller
This network shows the impact of papers produced by Mario Döller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mario Döller. The network helps show where Mario Döller may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Döller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 26 | |
| 2 | 2008 | 23 | |
| 3 | 2019 | 19 | |
| 4 | 2007 | 17 | |
| 5 | 2019 | 16 | |
| 6 | 2011 | 8 | |
| 7 | 2002 | 7 | |
| 8 | 2002 | 6 | |
| 9 | 2022 | 6 | |
| 10 | Towards Automated Real Estate Assessment from Satellite Images with CNNs. | 2017 | 6 |
| 11 | 2008 | 5 | |
| 12 | 2012 | 5 | |
| 13 | 2012 | 4 | |
| 14 | 2012 | 4 | |
| 15 | 2007 | 4 | |
| 16 | 2003 | 4 | |
| 17 | 2012 | 3 | |
| 18 | 2017 | 3 | |
| 19 | 2009 | 3 | |
| 20 | How to align media metadata schemas ? Design and implementation of the media ontology | 2009 | 2 |
About Mario Döller
Mario Döller is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Building and Construction and Information Systems, having authored 37 papers that have together received 187 indexed citations. Recurring topics across this work include Video Analysis and Summarization (10 papers), Music and Audio Processing (8 papers), Image Retrieval and Classification Techniques (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Data Management and Algorithms (5 papers), Traffic Prediction and Management Techniques (4 papers), Digital Rights Management and Security (3 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (99 citations), Signal Processing (34 citations), Building and Construction (28 citations), Computer Graphics and Computer-Aided Design (5 citations) and Media Technology (12 citations). Mario Döller has collaborated with scholars based in Germany, Austria and Spain. Frequent co-authors include Harald Kosch, Matthias Zeppelzauer, László Böszörményi, Rubén Tous, Kyoungro Yoon, Masanori Sano, Lee Burnett, John R. Smith, Ingo Wolf and Jaime Delgado. Their work appears in journals such as IEEE Multimedia, Journal of Real Estate Literature, Signal Processing Image Communication, Computer Science - Research and Development and Energy and Buildings.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.